Articles liés à Computer Vision and Machine Learning in Agriculture
- ÉditeurSpringer
- Date d'édition2022
- ISBN 10 9813364262
- ISBN 13 9789813364264
- ReliureBroché
- Langueanglais
- Nombre de pages188
- ÉditeurUddin Mohammad Shorif, Bansal Jagdish Chand
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Computer Vision and Machine Learning in Agriculture (Algorithms for Intelligent Systems)
Vendeur : Lucky's Textbooks, Dallas, TX, Etats-Unis
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Computer Vision and Machine Learning in Agriculture
Edité par
Springer Nature Singapore, 2022
ISBN 10 : 9813364262
ISBN 13 : 9789813364264
Ancien ou d'occasion
Couverture souple
Vendeur : Buchpark, Trebbin, Allemagne
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Etat : Hervorragend. Zustand: Hervorragend | Seiten: 188 | Sprache: Englisch | Produktart: Bücher. N° de réf. du vendeur 38593827/1
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Computer Vision and Machine Learning in Agriculture
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Springer, Berlin|Springer Nature Singapore|Springer, 2022
ISBN 10 : 9813364262
ISBN 13 : 9789813364264
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Vendeur : moluna, Greven, Allemagne
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. The topics covered in the book include plant, leaf, and fruit disease detection, crop health monitoring, applications of robots in agriculture, precision farming, assessment of product quality and defects, pest, insect, fruits, and vegetable types recogniti. N° de réf. du vendeur 577700513
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Computer Vision and Machine Learning in Agriculture
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Springer Nature Singapore Mrz 2022, 2022
ISBN 10 : 9813364262
ISBN 13 : 9789813364264
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Taschenbuch
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book discusses computer vision, a noncontact as well as a nondestructive technique involving the development of theoretical and algorithmic tools for automatic visual understanding and recognition which finds huge applications in agricultural productions. It also entails how rendering of machine learning techniques to computer vision algorithms is boosting this sector with better productivity by developing more precise systems.Computer vision and machine learning (CV-ML) helps in plant disease assessment along with crop condition monitoring to control the degradation of yield, quality, and severe financial loss for farmers. Significant scientific and technological advances have been made in defect assessment, quality grading, disease recognition, pests, insects, fruits, and vegetable types recognition and evaluation of a wide range of agricultural plants, crops, leaves, and fruits. The book discusses intelligent robots developed with the touch of CV-ML which can help farmers to perform various tasks like planting, weeding, harvesting, plant health monitoring, and so on. The topics covered in the book include plant, leaf, and fruit disease detection, crop health monitoring, applications of robots in agriculture, precision farming, assessment of product quality and defects, pest, insect, fruits, and vegetable types recognition. 188 pp. Englisch. N° de réf. du vendeur 9789813364264
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Computer Vision and Machine Learning in Agriculture (Algorithms for Intelligent Systems)
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Computer Vision and Machine Learning in Agriculture
Edité par
Springer Nature Singapore, Springer Nature Singapore, 2022
ISBN 10 : 9813364262
ISBN 13 : 9789813364264
Neuf
Taschenbuch
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
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Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This book discusses computer vision, a noncontact as well as a nondestructive technique involving the development of theoretical and algorithmic tools for automatic visual understanding and recognition which finds huge applications in agricultural productions. It also entails how rendering of machine learning techniques to computer vision algorithms is boosting this sector with better productivity by developing more precise systems.Computer vision and machine learning (CV-ML) helps in plant disease assessment along with crop condition monitoring to control the degradation of yield, quality, and severe financial loss for farmers. Significant scientific and technological advances have been made in defect assessment, quality grading, disease recognition, pests, insects, fruits, and vegetable types recognition and evaluation of a wide range of agricultural plants, crops, leaves, and fruits. The book discusses intelligent robots developed with the touch of CV-ML which can help farmers to perform various tasks like planting, weeding, harvesting, plant health monitoring, and so on. The topics covered in the book include plant, leaf, and fruit disease detection, crop health monitoring, applications of robots in agriculture, precision farming, assessment of product quality and defects, pest, insect, fruits, and vegetable types recognition. N° de réf. du vendeur 9789813364264
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Computer Vision and Machine Learning in Agriculture (Algorithms for Intelligent Systems)
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